GPT-5.5
OpenAI's latest agentic flagship for coding, research, computer-use workflows, and long multi-step knowledge work.
A reliable but outdated GPT-4 snapshot that only makes sense when version pinning is a hard requirement.
Teams requiring a pinned, stable version of GPT-4 Turbo for reproducible outputs in long-document analysis or complex instruction pipelines.
You're starting a new project without legacy constraints — newer models like GPT-4o or Claude Sonnet 4.6 deliver better results at the same or lower cost.
This is a pinned model snapshot (v1106) and will not receive capability updates. OpenAI may deprecate older snapshots over time. Knowledge cutoff is April 2023. Not recommended for new deployments given the superior cost-performance of GPT-4o and GPT-4.1.
128K context window handles long documents, codebases, and multi-turn conversations without truncation
Strong instruction-following and structured output generation compared to base GPT-4
Reliable JSON mode support introduced in v1106, useful for tool-calling pipelines
Pinned snapshot ensures consistent, reproducible behavior — no silent model updates
Significantly outclassed by GPT-4o and GPT-4.1 on most benchmarks at a higher price point than newer alternatives
No native image generation capability and vision support is limited compared to GPT-4o
At $10/$30 per million tokens, it's expensive relative to Claude Sonnet 4.6 or Gemini 1.5 Pro which offer comparable or superior quality for less
What people actually use OpenAI: GPT-4 Turbo (older v1106) for.
Analyzing a 100-page legal contract for clause inconsistencies using the full 128K context
Generating structured JSON outputs for a legacy API integration pipeline requiring v1106 consistency
Summarizing and cross-referencing multiple research papers loaded into a single long context prompt
Price History
→0% since May 9
48 data points · tracked daily since May 9, 2026
Teams requiring a pinned, stable version of GPT-4 Turbo for reproducible outputs in long-document analysis or complex instruction pipelines.. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
Similar models worth checking before you commit.
OpenAI's latest agentic flagship for coding, research, computer-use workflows, and long multi-step knowledge work.
GPT-4 Turbo is OpenAI's high-capability flagship model featuring a 128K context window, trained on data up to April 2024. It delivers strong reasoning, coding, and instruction-following across complex tasks.
GPT-4 Turbo Preview is an early access version of GPT-4 Turbo, OpenAI's then-flagship model featuring a 128K context window and knowledge improvements over the original GPT-4. It was designed to deliver GPT-4-class reasoning at reduced cost compared to the original GPT-4.
Pricing moves, ranking shifts, and capability updates.
OpenAI: GPT-4 Turbo (older v1106) (OpenAI) is now indexed. A reliable but outdated GPT-4 snapshot that only makes sense when version pinning is a hard requirement.
View modelOpenAI: GPT-4 Turbo (older v1106) is best for teams requiring a pinned, stable version of gpt-4 turbo for reproducible outputs in long-document analysis or complex instruction pipelines.. It is a strong fit when that workflow matters more than the tradeoffs around premium pricing and balanced speed.
You're starting a new project without legacy constraints — newer models like GPT-4o or Claude Sonnet 4.6 deliver better results at the same or lower cost.
Meta: Llama 3.1 8B Instruct is the lower-cost option to compare first when you want a similar workflow fit with less token spend.
GPT-5.5 is the better pick when response time matters more than maximum depth or premium quality.
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